Overview

Technology Investment Areas

Our technology investment areas:

  1. Cybersecurity

  2. The Aerospace and Defense industry holds vast amounts of data that is vital to National Security. This data comes under an increasing attack from hackers and terrorists who aim to cripple the nation’s defense systems including areas controlling critical infrastructure. Hacking tools and viruses are becoming more complex and can originate from well-funded state actors, however it is statistically more likely that hackers gain access to privileged networks by manipulating insiders, making the defense against cyberattack challenging. A primary issue of concern is a skills shortage in the Cybersecurity industry. High level cybersecurity professionals are highly valued and needed by most major corporations to protect their valued assets.

    Studebaker Capital work with early stage technology companies to identify and develop key talent and technological advancements. All cyber related services and solutions are implemented through these subsidiary investments, as well as Studebaker Cyber, a division of Studebaker Defense Intelligence.

  3. Machine Learning (ML) and Artificial Intelligence (AI):

  4. Artificial intelligence (AI) is being used in Distributed Denial of Service (DDoS) attacks on Aerospace and Defense to create more sophisticated and complex cyber-attack scenarios, so the defenses against such attacks require the developing of innovative AI solutions to detect, counter and prevent attacks of this nature. Machine learning and AI could enable cybercrime to take place on scales not previously witnessed. Studebaker Capital invest in companies and technologies that are pioneers in computer defense systems and that provide real-time, unsupervised machine learning capability.

  5. Big Data, Data Analytics, Predictive Analytics and Internet of Things (IoT):

  6. The Intelligence Community, as well as Aerospace and Defense Industry need to explore ways to harness and learn from the masses of data that are being collected across multiple disparate systems, agencies, and units of operation. There are many challenges to be overcome before big data becomes a useful tool that provides actionable intelligence. Artificial Intelligence, Predictive Analytics, Quantum Computing Technologies, Cloud Computing and Internet of Things (IoT) are all vital in order to make the promise of Big Data Learning a reality.

    Hardware such as thermal imaging technology, video, GPS, and other intelligence gathering devices are deployed to the battlefield and capable of recording and analyzing large amounts of data. Big Data analytics is required to manage the flow of data, and extract useful and relevant information, leaving information which will be of benefit to decision making in the chain of command.

    Studebaker Capital invest in technologies that allow the military and intelligence community to assess targets on the move and, collate and disseminate mission-critical information in real-time or near-real-time to efficiently and effectively achieve mission objectives.

  7. Quantum & Edge Computing:

  8. For Artificial Intelligence (AI) to solve complex challenges such as the active optimization and dissemination of information, advanced hardware capabilities are required. These advancements will allow superior algorithms to perform critical tasks within less time and at a greater efficiency. Quantum computers solve multiple problems in parallel which improve the output in machine learning (ML) capability

    Quantum computers presents significant benefits in cybersecurity, big data analytics, cryptography and testing software used in defense and weapons systems.

    Our field of interest includes Edge Computing technologies used in data processing and analysis of data close to the points of data collection. The growth of IoT initiatives and use of various sensors and data collection devices in the field requires innovative edge computing solutions that service a distributed network of connected devices, with advanced data processing and analytics capability. Furthermore, the development of 5G cellular technologies will bolster the ability, capacity and output of IoT and edge computing.

    Studebaker Capital invest in Quantum and Edge Computing technologies that improve the efficiency and accuracy of intelligence and military operations.

  9. Cloud Computing

  10. Due to the large amounts of data that is now produced by military and intelligence equipment, cloud computing is in high demand with several governments utilizing a ‘cloud-first’ approach in improving cybersecurity and mission effectiveness.

    Our investment focus centers around the provision of IT infrastructure, operating software, middleware and applications hosted within advanced data or command centers that can be accessed by clients in the field, such as ‘industry community clouds’ or ‘vertical SaaS’ cloud environments utilized by the intelligence and defense community. This includes AI systems that involve costly supercomputers and vast teams of software engineers which is increasingly being provided as a platform-as-a-service (PaaS) and can securely be accessed by communities via the Cloud.

    Software as a service (SaaS), has become the most efficient way to develop and deliver software which also has potential for a new breed of highly-specialized and secure services in private intelligence solutions. For use in military and intelligence, these solutions are often housed on-premise in client data centers or alternatively outsourced to private companies that own highly secure data and command centers that provide holistic solutions for field and surveillance operations.

    The transition to Cloud computing potentially exposes clients to a higher risk of cyber-attack. This increases the demand for cybersecurity services which can be incorporated into data and command center solution offerings. Unified threat management, artificial intelligence and Cloud security technologies are utilized to protect data in these environments and are all part of our investment mandate.

  11. Blockchain

  12. The Studebaker Capital team views Blockchain as a key area of investment. The major players in intelligence and defense are likely to have a blockchain product or solution within the next 3 years with numerous technological applications including organized military supply chains, development of swarm drone technology and securing networks from cyber-attack. Developments of artificial intelligence and other technologies are however crucial and required to unlock the key benefits of blockchain for intelligence and defense companies.

    Defense supply chain improvements utilizing Blockchain includes managing vehicle inventories, fuel, travel routes, payloads and servicing of vehicles or aircraft. Further benefits being explored involve the tracking of spares and parts, and their movements through the blockchain ledger in order to improve the servicing and delivery process. A secure and efficient supply chain system enhanced by blockchain can assist in managing equipment and military forces in various scenarios and environments and simultaneously track their movements, actions and battlefield requirements.

    The next evolution for military drones and autonomous vehicles will see vehicles operating in unison to effectively ‘swarm’ targets. This technology is being explored by major defense companies with variations of miniature and traditionally sized vehicles and unmanned aircraft systems. These tactics have significant strategic potential to overwhelm and destroy enemy targets.

    A decentralized blockchain platform is required to ledger and coordinate the movement of multiple vehicles in a single-unified movement. This will allow small teams of operatives or even a single operative to control a major offensive movement. Blockchain is also an important technology in financial applications. It acts as a decentralized ledger with a unique fingerprint which makes it near impossible to manipulate and assists in limiting the potential for financial crime.

    Studebaker Capital engage with early-stage technology companies that develop Blockchain solutions, more specifically solutions with integration to artificial intelligence capability.

  13. Autonomous Vehicles & Lidar Systems

  14. A major area of investment in the defense sector is in developing technologies that operate autonomously and that do not require human operators. This technology is being developed for a wide variety of military equipment including self-driving convoys, drones, and autonomous submarines. There are however complexities with this kind of the implementation such as extensive testing cycles, protection from cyber-attack and integration into already-existing defense and military technologies.

    Studebaker Capital, through its affiliate, Studebaker Holdings invests in technology related to autonomous vehicle systems, electric vehicles and other technologies used in this growing industry. Our specific focus is in applications relevant to law enforcement and defense. Our immediate areas of interest include investment in early-stage technology development for vehicle ‘brains’ utilized in self-driving vehicles, sensors, Lidar systems, AI chips, machine learning, edge computing, vehicle communications systems, and cyber and big data technologies (as it relates to mobility and autonomous systems).

  15. Social Media Intelligence

  16. Studebaker Capital invests in technology related to real-time, location-based social media intelligence. Our primary aim is to work with technology partners to develop systems that reduce the cost of criminal investigation while improving overall effectiveness and efficiency. Over 80% of law enforcement agencies have utilized social media intelligence to solve crime.

    Our interest lies in technology that includes link analysis, and real-time locating of criminals to provide solutions that extend past investigation (post crime), but also allows for response (during) and prevention (prior). Social Media Intelligence is utilized in efforts related to criminal investigations, support in natural disasters, tracking of terrorist and rebel group activities, narcoterrorism, community events, warrants for arrest and crime related to firearms and gang-related activity.

  17. Intelligence, Surveillance & Reconnaissance Systems (ISR)

  18. Surveillance & Reconnaissance Systems capabilities are often inclusive of ISR Data and Analysis, Automatic Test Equipment, and Mission Management Systems. ISR Data and Analysis encompasses analytical support for defense and intelligence engineering, which enables engineering and technology groups to effectively build sensors, software, as well as electronic systems.

    There is a trend by technology companies to improve data standards and cohesiveness in the management of the ISR force and parochial ISR architectures. The future technological advancements will be more inclusive of both flexible and low signature capabilities that are encompassing of ISR, where the ISR would be used to create more effective military capabilities. Mission management systems use mission planning and analysis solutions to create applications that cater to mission controls for aircraft, missiles, stealth aircraft, ground vehicles, weapon systems, expeditionary forces, targeting solutions, contingency plans, and communication plans.

    Studebaker Capital invest in technologies related to ISR which are diverse in their ability to operate in various environments and that are cross-functional across domains such as air, land, sea, space, and cyberspace; these technologies include sensors, platforms, communications systems, processors, and analytical applications.

  19. Biometrics & Facial Recognition

  20. The requirement to identify and track human movement and activity has resulted in the development of biometric screening technologies such as fingerprinting, facial recognition, voice recognition, iris scans, and DNA. Biometric technology is used in both the public and private sphere.

    In the public sphere, it is useful in monitoring border security, the identifying of criminals, fighting against and preventing terrorism, in battlefield operations and in decreasing identity fraud. In the private sphere, it is useful in monitoring employees and their hours worked, in increasing the output of advertising, in social media, and in ensuring the security of individuals and assets by managing access to sensitive locations.

    Studebaker Capital invests in advanced biometric and facial recognition technologies that is empowered by machine learning (ML) and artificial intelligence (AI).

  21. Communications Systems

  22. Communications Systems will continue to advance with regards to machine learning and artificial intelligence. Successful military and intelligence operations require data to be processed and distributed to commanders in real-time. Future developments will apply machine learning in image and information processing which will be extended to technology advancements in real-time communication.

    ‘Internet of military’ and ‘battlefield of things’ are becoming common terms in defense technology. Multiple, sensor-fed devices (for both intelligence and military fields) are required to communicate efficiently. These devices all send large quantities of data to data centers where it is analyzed using complex algorithms. Technological advancements in machine learning, surveillance systems, voice recognition, augmented reality, facial recognition, and other forms of artificial intelligence (AI) require the development of advanced algorithms, which in turn create vastly increasing volumes of data.

    Studebaker Capital invest in technologies that are the future of battlefield and clandestine communication.

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